Authors
Zhuo Tang, Ling Qi, Zhenzhen Cheng, Kenli Li, Samee U Khan, Keqin Li
Publication date
2016/3
Journal
Journal of Grid Computing
Volume
14
Pages
55-74
Publisher
Springer Netherlands
Description
The growth of energy consumption has been explosive in current data centers, super computers, and public cloud systems. This explosion has led to greater advocacy of green computing, and many efforts and works focus on the task scheduling in order to reduce energy dissipation. In order to obtain more energy reduction as well as maintain the quality of service by meeting the deadlines, this paper proposes a DVFS-enabled Energy-efficient Workflow Task Scheduling algorithm: DEWTS. Through merging the relatively inefficient processors by reclaiming the slack time, DEWTS can leverage the useful slack time recurrently after severs are merged. DEWTS firstly calculates the initial scheduling order of all tasks, and obtains the whole makespan and deadline based on Heterogeneous-Earliest-Finish-Time (HEFT) algorithm. Through resorting the processors with their running task number and energy …
Scholar articles
Z Tang, L Qi, Z Cheng, K Li, SU Khan, K Li - Journal of Grid Computing, 2016